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The purpose of this study was to create a theoretical model by combining the technology acceptance model (TAM) with the theory of technology readiness (TR) and then empirically test it to identify the key factors influencing older citizens’ intention to adopt and use mobile health (m-health), which has emerged as a tool to facilitate health-care rights for all.

The convenience sampling method was used to collect data from 465 respondents aged 60 and up from the Delhi-National capital region of India using a questionnaire survey method. The data collected for this study were analyzed using partial least squares structural equation modeling using SmartPLS 3.0.

The study’s findings indicate that all TR components influence perceived usefulness (PU) and ease of use. The exception is discomfort, which does not affect perceived ease of use (PEOU). Furthermore, PU and PEOU influenced the older citizen’s attitude toward m-health, and attitude influenced their intention to use m-health applications.

To the best of the authors’ knowledge, this is the first study to apply the TAM in combination with TR index to examine the acceptability of m-health consulting by the older citizen in an emerging economy like India.

The purpose of this paper is to understand the factors influencing the adoption decision of patients towards digital consultation in India with gender as a moderating variable. This study is based on the unified theory of acceptance and use of technology (UTAUT2) framework for examining the factors influencing adoption decisions for digital consultation and to what extent this leads to continuous usage intention.

Based on the UTAUT2 framework, this study proposed a set of hypotheses that were tested using structural equation modeling. This study was based on primary data collected from 462 sample respondents using the judgemental sampling method who had experience of using digital health consultation in India.

Findings of this study revealed significant and positive causation in the behavioural intention (BI) of a patient to adopt digital health consultation arising out of performance expectancy, effort expectancy, social influence, facilitating condition and price value; however, habit is insignificantly associated with the same. Furthermore, the results of this study also revealed that the BI of a patient towards digital health consultation is significantly moderated by their gender.

This study conceptually strengthens the present body of literature on the adoption behaviour by contributing certain new dimensions in the context of digital health consultations and will also help policymakers and service providers in crafting their strategy for promoting the adoption of digital health consultation.

This study aims to identify the determinants that influence citizen’s behavioural intention and continuous usage intention of smart mobility services in Indian smart cities with the help of an extended technology acceptance model.

This study uses a quantitative methodology to analyse the data collected from 509 residents of smart cities in India. The study used the partial least squares structural equation modelling approach to test the proposed hypotheses.

The study highlights the importance of perceived usefulness and ease of use in influencing citizens’ attitudes and intentions towards smart mobility services. Positive attitudes significantly impact behavioural intentions, which, in turn, link to continuous usage intentions.

This study contributes to the existing body of knowledge on smart cities and technology adoption, specifically in the area of smart mobility. The study’s findings will help service providers and policymakers to develop more robust strategies for the future.

This study aims to investigate the influence of the built environment of smart cities on citizens’ quality of life in a developing country like India, focusing on the role of citizens’ participation as a moderator.

This study used partial least square-based structural equation modelling to test the hypotheses using data from 542 sample respondents residing in five smart cities of India.

The findings of this study confirmed that the smart city-built environment dimensions of smart governance, smart economy, smart mobility, smart environment and smart living positively relate to citizen quality of life, except for the smart people dimension. This study also confirmed that citizen participation moderates the relationship between all six dimensions of the smart city-built environment and citizens’ quality of life.

This study investigates the relationship between the built environment of smart cities and residents’ quality of life and the moderating effect of citizen participation on this relationship.

The purpose of this paper is to investigate physicians’ perceptions of e-consultation adoption, which has the potential to bridge existing gaps in the current health-care system, using the unified theory of acceptance and use of technology (UTAUT2) framework.

The judgemental sampling method was embraced to collect primary data from 337 physicians from Delhi-National Capital Region who had experience with e-consultation. A number of hypotheses was developed and tested using structural equation model based on UTAUT2.

The study’s findings revealed an affirmative and significant relation between a physician’s intention to embrace e-consultation and facilitating conditions, effort expectancy, social influence and performance expectancy; however, habit and experience are not significantly linked to it.

This study will not only add to the existing body of knowledge about e-consultation adoption, but it will also assist electronic health service providers in devising strategies to encourage the usage of e-consultation services in emerging economies such as India where people are deprived of the right to access better health care due to lack of physical infrastructure.

This study aims to explore the mediating effect of the top-performing environmental, sustainability and governance (ESG) company’s corporate reputation and sustainability practices in translating corporate social responsibility (CSR) practices into competitive performance in an emerging economy like India.

The hypotheses proposed for this study were validated using partial least squares-based structural equation modeling on data obtained from the chief financial officers of the 122 top-performing ESG companies in India using a self-administered questionnaire.

According to the findings of this research, the relationship between CSR practices and the competitive performance of the top-performing ESG companies in India is partially mediated by corporate reputation and sustainability practices.

The findings of this study indicate that the corporate reputation of a company and sustainability measures accepted by an organization can improve an organization’s competitive position. Because there has been so little research done on India, this study has the potential to be regarded as a pioneering effort. It can provide a foundation for businesses operating in India to improve their competitive advantage by emphasizing their corporate reputation and sustainable business practices in addition to the CSR activities undertaken.

This research explores the mediating role of a firm's innovativeness and customer orientation on the relationship between commercial success and total quality management (TQM) in the Indian SaaS (Software-as-a-Service) sector.

The hypotheses suggested for this study were validated using partial least squares-based structural equation modeling on data collected from 189 executives working in SaaS companies in India.

The findings of this study revealed that a SaaS company's innovativeness fully mediates the relationship between TQM and corporate performance, whereas the customer orientation of SaaS companies partially mediates the relationship between TQM and corporate performance.

Findings of this paper indicate that, in addition to TQM deployment, SaaS companies' innovativeness and customer-focused strategy will improve their corporate performance. With minimal research focusing on India, this study may be considered a pioneer work. It can serve as a basis for SaaS company promoters to improve their corporate performance by implementing TQM processes.

This research explores the factors that influence patients' willingness to seek digital health advice in developing countries like India by extending the unified theory of acceptance and use of technology (UTAUT) with perceived risk (PR) and trust.

Structural equation modeling (SEM) was used to test the hypotheses proposed for this study. The primary data for this study were acquired from 578 respondents using a judgmental sampling procedure.

Results of this investigation reflected a positive and significant connexion of the intention of a patient towards e-health consultation with effort expectancy (EE), performance expectancy (PE), trust and social influence (SI); conversely, factors like facilitating condition (FC) and PR are not significantly connected with the same.

The findings of this study will not only add to the existing literature on the behavioral intention (BI) by introducing new dimensions in the context of digital health consultation, but they will also aid service providers in developing strategies to encourage the use of e-health consultation services in emerging economies such as India.

This study has a principal objective of exploring and analyzing the factors affecting adoption or acceptance of eco-friendly electric vehicles in India.

Primary data were gathered through a predesigned questionnaire from 355 vehicle owners of Delhi using simple random sampling method. Statistical softwares like SPSS and AMOS were used to analyze the primary data collected for the study. Statistical techniques like exploratory factor analysis, confirmatory factor analysis and structural equation modeling were usesd to infer a meaningful conclusion from the investigation.

Through this study, a statistically significant relationship between environmental concern, knowledge of EV, subjective norm and attitude toward electric vehicle were investigated. Similarly attitude is responsible for a significant variation in adoption decision.

The findings of the present study underscore the requirement for marketers to build up a systematic strategy for easier adoption of electric vehicles in India. On account of this, this study developed a model of potential determinants of adoption decision toward EVs in India, based on statistically significant evidences.

This study adds to the body of literature by exploring and testing the factors affecting the adoption of eco-friendly products like electric vehicle that were not emphasized earlier in Indian context and second by growing theoretically consistent operationalization for the marketing of electric vehicles. These upgrades brought about a last model with an unrivaled illustrative power.

The purpose of this paper is to identify the factors influencing the visit intention of medical tourists to India. This study also attempts to extend the theory of planned behaviour through the integration of perceived risk and facilitating condition.

Primary data were collected from a sample of 326 medical tourists arriving in India through Terminal-3 of Indira Gandhi International Airport (IGI-T3), New Delhi, India, during the months of October–December 2019. Confirmatory factor analysis and structural equation modelling are deployed to analyze the collected data and validate the proposed research model.

The outputs of this study revealed that perceived financial risk, physical risk, psychological risk and facilitating conditions available in a country are significantly linked to the attitude of a medical tourist. Similarly, facilitating conditions available in a country are significantly related to perceived behavioural control of a medical tourist. Furthermore, it is also revealed that attitude, subjective norm and perceived behavioural control are significantly related to visit intention of medical tourists to India; however, the perceived time risk and performance risk are insignificantly associated with the visit intention.

This study is restricted to the opinion of 326 sample respondents consisting of medical tourists who arrived in India through IGI-T3, New Delhi, during October–December 2019. In the future, a similar type of study may be conducted in different parts of the country with a relatively larger sample size

This study addresses the need for advancing the knowledge on the factors in determining visit intention of medical tourists towards India. This knowledge will become very crucial for India's medical tourism industry, which is aiming to attain a competitive edge in the global market.